QData / C-Tran
General Multi-label Image Classification with Transformers
☆264Updated 6 months ago
Alternatives and similar repositories for C-Tran:
Users that are interested in C-Tran are comparing it to the libraries listed below
- Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"☆213Updated 2 years ago
- Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".☆436Updated 3 years ago
- Awesome Multi-label Image Recognition Paper List☆162Updated 2 years ago
- Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)☆336Updated 2 years ago
- ☆81Updated 3 years ago
- Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.☆200Updated 2 years ago
- This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-N…☆399Updated 2 years ago
- ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)☆131Updated 3 years ago
- Multi-label classification based on timm.☆118Updated 3 years ago
- PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.☆48Updated 3 years ago
- Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper☆757Updated last year
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆128Updated 3 years ago
- Awesome Multi-label Image Recognition Paper List☆19Updated 2 years ago
- Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021☆47Updated 2 years ago
- [ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification☆150Updated 2 years ago
- [CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)☆131Updated 3 years ago
- Awesome Fine-grained Visual Classification☆229Updated last year
- A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN☆86Updated 4 years ago
- CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522☆250Updated 2 years ago
- Official implementation for the paper: "Multi-label Classification with Partial Annotations using Class-aware Selective Loss"☆132Updated 2 years ago
- The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).☆177Updated last year
- [BMVC 2021] The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization☆49Updated 2 years ago
- [TIP] Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition☆46Updated 2 years ago
- A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “C…☆235Updated 3 years ago
- ☆27Updated 2 years ago
- A paper list of state-of-the-art weakly supervised object detection or localization.☆95Updated last year
- ☆164Updated 3 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆367Updated 2 years ago
- ☆153Updated 3 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆272Updated 2 years ago